SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

Showing 571580 of 782 papers

TitleStatusHype
Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations0
Cross-lingual Annotation Projection in Legal TextsCode0
Multi-view Subword Regularization0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages0
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages0
Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios0
Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies0
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages0
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4Unverified
2mT0-13BAccuracy84.45Unverified
3RoBERTa Large (translate test)Accuracy76.05Unverified
4BLOOMZAccuracy75.5Unverified
5MAD-X BaseAccuracy60.94Unverified
6mGPTAccuracy55.5Unverified